SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer
Microorganisms have been detected in various tumors, and research on the tumor microbiome has received increasing attention. However, the investigation of the cancer microbiome at the spatial resolution level remains a challenging issue. The emergence of spatially resolved transcriptomics technology has enabled to map transcripts at the single-cell resolution in various cancer types. Here, we constructed a comprehensive spatial meta-transcriptome resource by manually curating 203 fresh frozen slices from 20 cancer types encompassing 334,253 spots and 1,908,646 cells. A spatial meta-transcriptome database (SMTdb; http://bio-bigdata.hrbmu.edu.cn/SMTdb/) was constructed to provide detailed insights into the abundance, distribution, and enriched tumor microenvironment (TME) regions of 1,218 microbiota in spatial tissue slices. SMTdb enables to explore the vast interactive data of spatial distribution and expression of microbiota, provides host gene modules associated with certain microbiota, and contains data on the co-occurrence between the microbiota and immune cells within the TME. The atlas resource serves as a comprehensive and structured platform to investigate the interactions between microbial ecosystems and hosts in cancer.
Authors
- Minghai Su (ORCID: https://orcid.org/0000-0001-5135-3103)
- Jiyu Guo (ORCID: https://orcid.org/0000-0001-8775-3969)
- Weiwei Zhou (ORCID: https://orcid.org/0000-0003-1641-8965)
- Tiantongfei Jiang
- Juan Xu (ORCID: https://orcid.org/0000-0002-3709-4165)
- Jingyi Shi (ORCID: https://orcid.org/0000-0002-9017-3006)
- Si Li (ORCID: https://orcid.org/0000-0001-7997-0904)
- Yongsheng Li (ORCID: https://orcid.org/0000-0003-1914-0727)
- Qingyi Yang (ORCID: https://orcid.org/0009-0001-9836-4261)
- Feng Leng
- Yueying Gao (ORCID: https://orcid.org/0009-0003-3095-8228)
- T. Rong (ORCID: https://orcid.org/0000-0002-5479-9212)
Institutions
- Harbin Medical University (CN)
Publication Details
- Journal
- Molecular Biology and Evolution
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1093/molbev/msaf263
- Citations
- 1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.81